Microsoft Research

Microsoft Research – 11 августа 2016, 23:47

You have probably played with Kinect. At the very least, IΓÇÖm hoping youΓÇÖve heard of it.

The prospect of outsourcing an increasing amount of data storage and management to cloud services raises many new privacy concerns that can be satisfactorily addressed if users encrypt the data they

Bacterial chemoreceptor proteins respond to local nutrients and toxins through binding events in receptor domains in the periplasm, causing a conformational change which is propagated into the cell

Microsoft Research – 11 августа 2016, 23:32

Microsoft Research – 11 августа 2016, 23:32

Microsoft Research – 11 августа 2016, 23:31

People are asked to explore and make sense of enormous amounts of information on a daily basis.

Many of today's popular computing applications require real-time analytics over large and dynamic datasets, from social web applications to online data warehousing, network monitoring, and

How can two strangers figure out how many phone contacts they have in common without revealing anything else about each other? Can this be done even in the absence of trusted third parties?

Today, it is common to connect to Internet-based services through a variety of devices.

We have witnessed emergence of many deep learning systems; each comes with its own unique features.

In the last few years garbled circuits (GC) have been elevated from being merely a component in Yao's protocol for secure two-party computation, to a cryptographic primitive in its own right

Today, it is common to connect to Internet-based services through a variety of devices.

Poorly maintained sidewalks pose considerable accessibility challenges for people with mobility impairments.

Stephen will be talking about his recent work on wearable devices and how it will impact healthcare in people's lives.

General nonconvex optimization problems are NP-hard. In applied disciplines, however, nonconvex problems abound, and heuristic algorithms are often surprisingly effective.

Many discrete algorithms for convex optimization and online learning can be interpreted as a discretization of a continuous-time process.

Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases.

Some of the oldest information our society has access to is the genetic information of ancient species discovered in the DNA of fossil bone (up to 300,000 years old).

Web services today want to support sophisticated queries, with stringent interactivity (latency and/or throughput) constraints.

Web services today want to support sophisticated queries, with stringent interactivity constraints.

We develop a framework for zero-shot learning (ZSL) with a goal towards understanding recognition for scenarios where certain class-specific training data could be limited or unavailable.

There is large potential in designing intelligent and self-sustainable crowd-powered systems that incentivize and empower their users to actively engage them in the system processes.

Latent or hidden variable models have applications in almost every domain, e.g., social network analysis, natural language processing, computer vision and computational biology.

Advanced analytics -- the analysis of large and complex data using machine learning (ML) -- is becoming ubiquitous, with a growing demand for advanced analytics tools in the enterprise domains.

The need for rich, ad-hoc data analysis is key for pervasive discovery. However, generic and reusable systems tools for interactive search, exploration and mining over large data sets are lacking.

The shift to multi-core architectures in the past ten years pushed developers to write concurrent software to leverage hardware parallelism.

Mobile devices like smartphones and smartwatches are beginning to stick to the human body.

This talk describes SpatialHadoop; an open-source full-fledged system for indexing, querying, and visualizing big spatial data.